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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    references to jails or prison facilities

    oai_token-act-pair · gpt-3.5-turbo

    references to jail or incarceration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FORE
    -0.81
     Nare
    -0.76
     Bundes
    -0.73
    xit
    -0.71
    yip
    -0.70
     Scotia
    -0.65
    chell
    -0.64
     ITS
    -0.63
     livest
    -0.62
     Investors
    -0.61
    POSITIVE LOGITS
    break
    0.87
    house
    0.86
    strap
    0.83
     jail
    0.83
    lege
    0.82
    broken
    0.82
     jails
    0.80
    breakers
    0.80
    itory
    0.80
    alde
    0.80
    Activations Density 0.012%

    No Known Activations